Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Miracle-Aligner/job-search-hq --skill build-profilegit clone --depth 1 https://github.com/Miracle-Aligner/job-search-hqWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/miracle-aligner/job-search-hq/build-profile)<a href="https://agentmods.dev/skills/miracle-aligner/job-search-hq/build-profile"><img src="https://agentmods.dev/badge/skills/miracle-aligner/job-search-hq/build-profile/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/miracle-aligner/job-search-hq/build-profile"><img src="https://agentmods.dev/badge/skills/miracle-aligner/job-search-hq/build-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.00542 |
| Opus 5 | $0.00050 | $0.00271 |
| Sonnet 5 | $0.00020 | $0.00108 |
| Haiku 4.5 | $0.00010 | $0.00054 |
Grade A, and why
build-profile scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
build-profile
Two outputs, gitignored, mirroring the committed examples:
profile/candidate.md— prose, the shape ofprofile/candidate.example.md(Strengths · Gaps · Languages · CV variants). Assessment skillsReadthis at scoring time.profile/profile.json— structured, the shape ofprofile/profile.example.json(name, title, experienceYears, education, targetRole, targetComp, location, strengths, gaps, languages, cvVariants).
Pick a mode
Mode A — parse existing materials (preferred). If the user has a CV (run /ingest-cv
first or point at profile/cv/), a LinkedIn export/URL, or an old profile, read those and
synthesize. Don't interrogate them for facts already on the page.
Mode B — interview. Otherwise ask a short set of questions (don't exhaust them):
- Target role(s) and seniority.
- Core strengths — the 4–6 things they're genuinely strong at.
- Honest gaps — what they'd be stretched or rejected on.
- Comp expectations (currency, monthly band) and location/timezone/relocation.
- Languages + levels.
- CV variants they keep (e.g. a backend/LLM CV vs a voice CV).
Synthesize
- Be concise and honest — gaps are as useful as strengths (they drive accurate
level/techscoring and gap-defense in interview prep). Don't inflate. - Keep
candidate.mdskimmable: bullet lists, no fluff. cvVariants[]entries reference files underprofile/cv/(see/ingest-cv).
Finish
Write both files (never overwrite without confirming if they already exist — offer to merge).
Then tell the user they're ready to score roles (/add-vacancy) and that the files are local
(gitignored). No bake needed — the profile isn't part of the board.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 47 lines · 100 tokens per session scan A a71772b0a83c
build-profile is a skill published in the GitHub repository Miracle-Aligner/job-search-hq (1 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 542 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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Find a hiring manager/recruiter for a role (or company) and send a personalized message via cold email or LinkedIn, with per-campaign channels and autonomy.